[pre-commit.ci] auto fixes from pre-commit.com hooks

benchmarks/heavy_benchmark.py

@@ -23,17 +23,33 @@
 import seaborn as sns
 from matplotlib import pyplot as plt
 from moabb import set_log_level
-from moabb.analysis.meta_analysis import (compute_dataset_statistics,
-                                          find_significant_differences)
+from moabb.analysis.meta_analysis import (
+    compute_dataset_statistics,
+    find_significant_differences,
+)
+
 # Motor imagery databases
 # P300 databases
 from moabb.datasets import Lee2019_MI  # new
 from moabb.datasets import Schirrmeister2017  # new
-from moabb.datasets import (BNCI2014_001, BNCI2014_004, BNCI2014_008,
-                            BNCI2014_009, BNCI2015_003, BI2013a, BI2014a,
-                            BI2014b, BI2015a, BI2015b, Cho2017,
-                            GrosseWentrup2009, PhysionetMI, Shin2017A,
-                            Weibo2014, Zhou2016)
+from moabb.datasets import (
+    BNCI2014_001,
+    BNCI2014_004,
+    BNCI2014_008,
+    BNCI2014_009,
+    BNCI2015_003,
+    BI2013a,
+    BI2014a,
+    BI2014b,
+    BI2015a,
+    BI2015b,
+    Cho2017,
+    GrosseWentrup2009,
+    PhysionetMI,
+    Shin2017A,
+    Weibo2014,
+    Zhou2016,
+)
 from moabb.evaluations import CrossSubjectEvaluation, WithinSessionEvaluation
 from moabb.paradigms import P300, LeftRightImagery, MotorImagery
 from pyriemann.estimation import Covariances

benchmarks/light_benchmark.py

@@ -23,7 +23,8 @@
 
 from pyriemann_qiskit.pipelines import (
     QuantumClassifierWithDefaultRiemannianPipeline,
-    QuantumMDMWithRiemannianPipeline)
+    QuantumMDMWithRiemannianPipeline,
+)
 from pyriemann_qiskit.utils import distance, mean  # noqa
 
 print(__doc__)

benchmarks/light_benchmark_nch_qaoacv.py

@@ -21,8 +21,7 @@
 
 from pyriemann_qiskit.classification import QuanticNCH
 from pyriemann_qiskit.utils import distance, mean  # noqa
-from pyriemann_qiskit.utils.hyper_params_factory import \
-    create_mixer_rotational_X_gates
+from pyriemann_qiskit.utils.hyper_params_factory import create_mixer_rotational_X_gates
 
 print(__doc__)
 

doc/conf.py

@@ -16,6 +16,7 @@
 import sys
 
 import matplotlib
+
 # mne update path
 import mne
 

examples/ERP/noplot_classify_P300_bi_illiteracy.py

@@ -33,8 +33,11 @@
 
 from pyriemann_qiskit.ensemble import JudgeClassifier
 from pyriemann_qiskit.pipelines import (
-    QuantumClassifierWithDefaultRiemannianPipeline, QuantumMDMVotingClassifier,
-    QuantumMDMWithRiemannianPipeline)
+    QuantumClassifierWithDefaultRiemannianPipeline,
+    QuantumMDMVotingClassifier,
+    QuantumMDMWithRiemannianPipeline,
+)
+
 # inject convex distance and mean to pyriemann (if not done already)
 from pyriemann_qiskit.utils import distance, mean  # noqa
 

examples/ERP/noplot_classify_P300_bi_quantum_mdm.py

@@ -32,8 +32,11 @@
 from moabb.evaluations import WithinSessionEvaluation
 from moabb.paradigms import P300
 
-from pyriemann_qiskit.pipelines import (QuantumMDMVotingClassifier,
-                                        QuantumMDMWithRiemannianPipeline)
+from pyriemann_qiskit.pipelines import (
+    QuantumMDMVotingClassifier,
+    QuantumMDMWithRiemannianPipeline,
+)
+
 # inject cpm distance and mean to pyriemann (if not done already)
 from pyriemann_qiskit.utils import distance, mean  # noqa
 

examples/ERP/noplot_firebase_moabb.py

@@ -37,12 +37,13 @@
 from sklearn.discriminant_analysis import LinearDiscriminantAnalysis as LDA
 from sklearn.pipeline import make_pipeline
 
-from pyriemann_qiskit.pipelines import \
-    QuantumClassifierWithDefaultRiemannianPipeline
-from pyriemann_qiskit.utils import (add_moabb_dataframe_results_to_caches,
-                                    convert_caches_to_dataframes,
-                                    filter_subjects_by_incomplete_results,
-                                    generate_caches)
+from pyriemann_qiskit.pipelines import QuantumClassifierWithDefaultRiemannianPipeline
+from pyriemann_qiskit.utils import (
+    add_moabb_dataframe_results_to_caches,
+    convert_caches_to_dataframes,
+    filter_subjects_by_incomplete_results,
+    generate_caches,
+)
 
 print(__doc__)
 

examples/ERP/plot_classify_EEG_quantum_svm.py

@@ -16,8 +16,11 @@
 from matplotlib import pyplot as plt
 from pyriemann.estimation import XdawnCovariances
 from pyriemann.tangentspace import TangentSpace
-from sklearn.metrics import (ConfusionMatrixDisplay, balanced_accuracy_score,
-                             confusion_matrix)
+from sklearn.metrics import (
+    ConfusionMatrixDisplay,
+    balanced_accuracy_score,
+    confusion_matrix,
+)
 from sklearn.model_selection import train_test_split
 from sklearn.pipeline import make_pipeline
 

examples/ERP/plot_classify_P300_bi.py

@@ -36,8 +36,7 @@
 from sklearn.discriminant_analysis import LinearDiscriminantAnalysis as LDA
 from sklearn.pipeline import make_pipeline
 
-from pyriemann_qiskit.pipelines import \
-    QuantumClassifierWithDefaultRiemannianPipeline
+from pyriemann_qiskit.pipelines import QuantumClassifierWithDefaultRiemannianPipeline
 
 print(__doc__)
 

examples/MI/noplot_classify_alexmi_with_quantum_pipeline.py

@@ -15,6 +15,7 @@
 import warnings
 
 import seaborn as sns
+
 # inject cpm distance and mean to pyriemann (if not done already)
 from helpers.alias import ERPCov_MDM
 from matplotlib import pyplot as plt

examples/MI/noplot_multiclass_classification.py

@@ -16,14 +16,18 @@
 from helpers.alias import ERPCov_MDM
 from matplotlib import pyplot as plt
 from sklearn.decomposition import PCA
-from sklearn.metrics import (ConfusionMatrixDisplay, balanced_accuracy_score,
-                             confusion_matrix)
+from sklearn.metrics import (
+    ConfusionMatrixDisplay,
+    balanced_accuracy_score,
+    confusion_matrix,
+)
 from sklearn.model_selection import train_test_split
 
 from pyriemann_qiskit.datasets import get_mne_sample
 from pyriemann_qiskit.pipelines import (
     QuantumClassifierWithDefaultRiemannianPipeline,
-    QuantumMDMWithRiemannianPipeline)
+    QuantumMDMWithRiemannianPipeline,
+)
 
 print(__doc__)
 

examples/MI/plot_compare_dim_red.py

@@ -23,8 +23,7 @@
 from sklearn.model_selection import GridSearchCV, StratifiedKFold
 
 from pyriemann_qiskit.datasets import get_mne_sample
-from pyriemann_qiskit.pipelines import \
-    QuantumClassifierWithDefaultRiemannianPipeline
+from pyriemann_qiskit.pipelines import QuantumClassifierWithDefaultRiemannianPipeline
 from pyriemann_qiskit.utils.filtering import NaiveDimRed
 
 print(__doc__)

examples/toys_dataset/plot_classifier_comparison.py

@@ -20,10 +20,13 @@
 from sklearn.preprocessing import StandardScaler
 from sklearn.svm import SVC
 
-from pyriemann_qiskit.classification import \
-    QuanticSVM  # uncomment to run comparison with QuanticVQC (disabled for CI/CD); QuanticVQC
-from pyriemann_qiskit.datasets import (generate_linearly_separable_dataset,
-                                       generate_qiskit_dataset)
+from pyriemann_qiskit.classification import (  # uncomment to run comparison with QuanticVQC (disabled for CI/CD); QuanticVQC
+    QuanticSVM,
+)
+from pyriemann_qiskit.datasets import (
+    generate_linearly_separable_dataset,
+    generate_qiskit_dataset,
+)
 
 # uncomment to run comparison with QuanticVQC (disabled for CI/CD)
 # from pyriemann_qiskit.classification import QuanticVQC

examples/toys_dataset/plot_qaoa_cv.py

@@ -22,8 +22,11 @@
 
 from pyriemann_qiskit.utils.docplex import QAOACVOptimizer
 from pyriemann_qiskit.utils.hyper_params_factory import (
-    create_mixer_qiskit_default, create_mixer_rotational_X_gates,
-    create_mixer_rotational_XY_gates, create_mixer_rotational_XZ_gates)
+    create_mixer_qiskit_default,
+    create_mixer_rotational_X_gates,
+    create_mixer_rotational_XY_gates,
+    create_mixer_rotational_XZ_gates,
+)
 
 ###############################################################################
 # Run QAOA-CV

pyriemann_qiskit/classification.py

@@ -23,15 +23,21 @@
 from sklearn.svm import SVC
 
 from .datasets import get_feature_dimension
-from .utils.distance import (distance_functions,
-                             qdistance_logeuclid_to_convex_hull)
-from .utils.docplex import (ClassicalOptimizer, NaiveQAOAOptimizer,
-                            QAOACVOptimizer, get_global_optimizer,
-                            set_global_optimizer)
-from .utils.hyper_params_factory import (gen_two_local, gen_zz_feature_map,
-                                         get_spsa)
-from .utils.quantum_provider import (get_device, get_provider,
-                                     get_quantum_kernel, get_simulator)
+from .utils.distance import distance_functions, qdistance_logeuclid_to_convex_hull
+from .utils.docplex import (
+    ClassicalOptimizer,
+    NaiveQAOAOptimizer,
+    QAOACVOptimizer,
+    get_global_optimizer,
+    set_global_optimizer,
+)
+from .utils.hyper_params_factory import gen_two_local, gen_zz_feature_map, get_spsa
+from .utils.quantum_provider import (
+    get_device,
+    get_provider,
+    get_quantum_kernel,
+    get_simulator,
+)
 from .utils.utils import is_qfunction
 
 logging.basicConfig(level=logging.WARNING)

pyriemann_qiskit/datasets/__init__.py

@@ -1,6 +1,10 @@
-from .utils import (MockDataset, generate_linearly_separable_dataset,
-                    generate_qiskit_dataset, get_feature_dimension,
-                    get_mne_sample)
+from .utils import (
+    MockDataset,
+    generate_linearly_separable_dataset,
+    generate_qiskit_dataset,
+    get_feature_dimension,
+    get_mne_sample,
+)
 
 __all__ = [
     "get_mne_sample",

pyriemann_qiskit/utils/__init__.py

@@ -1,10 +1,21 @@
-from . import (distance, docplex, filtering, hyper_params_factory, mean,
-               preprocessing, quantum_provider, utils)
-from .firebase_connector import (Cache, FirebaseConnector,
-                                 add_moabb_dataframe_results_to_caches,
-                                 convert_caches_to_dataframes,
-                                 filter_subjects_by_incomplete_results,
-                                 generate_caches)
+from . import (
+    distance,
+    docplex,
+    filtering,
+    hyper_params_factory,
+    mean,
+    preprocessing,
+    quantum_provider,
+    utils,
+)
+from .firebase_connector import (
+    Cache,
+    FirebaseConnector,
+    add_moabb_dataframe_results_to_caches,
+    convert_caches_to_dataframes,
+    filter_subjects_by_incomplete_results,
+    generate_caches,
+)
 from .math import cov_to_corr_matrix, union_of_diff
 
 __all__ = [

pyriemann_qiskit/utils/distance.py

@@ -1,8 +1,11 @@
 import numpy as np
 from docplex.mp.model import Model
 from pyriemann.utils.base import logm
-from pyriemann.utils.distance import (distance_euclid, distance_functions,
-                                      distance_logeuclid)
+from pyriemann.utils.distance import (
+    distance_euclid,
+    distance_functions,
+    distance_logeuclid,
+)
 from pyriemann.utils.mean import mean_logeuclid
 from typing_extensions import deprecated
 

pyriemann_qiskit/utils/docplex.py

@@ -16,10 +16,8 @@
 from qiskit.quantum_info import Statevector
 from qiskit_algorithms import QAOA
 from qiskit_algorithms.optimizers import SLSQP, SPSA
-from qiskit_optimization.algorithms import (CobylaOptimizer,
-                                            MinimumEigenOptimizer)
-from qiskit_optimization.converters import (IntegerToBinary,
-                                            LinearEqualityToPenalty)
+from qiskit_optimization.algorithms import CobylaOptimizer, MinimumEigenOptimizer
+from qiskit_optimization.converters import IntegerToBinary, LinearEqualityToPenalty
 from qiskit_optimization.problems import VarType
 from qiskit_optimization.translators import from_docplex_mp
 from sklearn.preprocessing import MinMaxScaler

pyriemann_qiskit/utils/hyper_params_factory.py

@@ -1,8 +1,7 @@
 import inspect
 
 from qiskit.circuit import Parameter, QuantumCircuit, QuantumRegister
-from qiskit.circuit.library import (PauliFeatureMap, TwoLocal, ZFeatureMap,
-                                    ZZFeatureMap)
+from qiskit.circuit.library import PauliFeatureMap, TwoLocal, ZFeatureMap, ZZFeatureMap
 from qiskit_algorithms.optimizers import SPSA
 
 

pyriemann_qiskit/utils/quantum_provider.py

@@ -11,8 +11,10 @@
 from qiskit_aer.quantum_info import AerStatevector
 from qiskit_algorithms.state_fidelities import ComputeUncompute
 from qiskit_ibm_runtime import QiskitRuntimeService
-from qiskit_machine_learning.kernels import (FidelityQuantumKernel,
-                                             FidelityStatevectorKernel)
+from qiskit_machine_learning.kernels import (
+    FidelityQuantumKernel,
+    FidelityStatevectorKernel,
+)
 
 try:
     from qiskit_symb.quantum_info import Statevector

tests/test_classification.py

@@ -6,8 +6,12 @@
 from sklearn.model_selection import StratifiedKFold, cross_val_score
 from sklearn.pipeline import make_pipeline
 
-from pyriemann_qiskit.classification import (QuanticMDM, QuanticNCH,
-                                             QuanticSVM, QuanticVQC)
+from pyriemann_qiskit.classification import (
+    QuanticMDM,
+    QuanticNCH,
+    QuanticSVM,
+    QuanticVQC,
+)
 from pyriemann_qiskit.datasets import get_mne_sample
 from pyriemann_qiskit.utils.filtering import NaiveDimRed
 

tests/test_docplex.py

@@ -2,12 +2,14 @@
 from docplex.mp.model import Model
 from docplex.mp.vartype import BinaryVarType, ContinuousVarType, IntegerVarType
 
-from pyriemann_qiskit.utils.docplex import (ClassicalOptimizer,
-                                            NaiveQAOAOptimizer,
-                                            QAOACVOptimizer,
-                                            square_bin_mat_var,
-                                            square_cont_mat_var,
-                                            square_int_mat_var)
+from pyriemann_qiskit.utils.docplex import (
+    ClassicalOptimizer,
+    NaiveQAOAOptimizer,
+    QAOACVOptimizer,
+    square_bin_mat_var,
+    square_cont_mat_var,
+    square_int_mat_var,
+)
 
 
 @pytest.mark.parametrize(

tests/test_pipelines.py

@@ -3,8 +3,7 @@
 from sklearn.model_selection import StratifiedKFold, cross_val_score
 
 from pyriemann_qiskit.datasets import get_mne_sample
-from pyriemann_qiskit.pipelines import \
-    QuantumClassifierWithDefaultRiemannianPipeline
+from pyriemann_qiskit.pipelines import QuantumClassifierWithDefaultRiemannianPipeline
 
 
 @pytest.mark.parametrize(